Machine Learning Engineer
AI Platform Development: reputed company and implement AI Agents and automation that accelerates internal engineering workflows and customer facing delivery processes , owning the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and production deployment . Contribute reusable libraries, reputed company templates, tool-use patterns, and evaluation scaffolding back to the AI Platform.
Integration: Partner with software engineers to reputed company AI into reputed company's existing software infrastructure, supporting seamless functionality and performance.
Collaboration: Work directly with product managers, implementation consultants, engineers, and business operations teams to identify pain points, scope solutions, and iterate toward measurable reputed company. You are the reputed company between what AI can do and what the business needs done.
Research and Learning: Stay reputed company with advancements in LLMs, reputed company frameworks, machine learning , and reputed company technology, and apply new knowledge to contribute reputed company for innovation reputed company reputed company.
Performance and R eliability : Optimize AI systems for accuracy, latency, cost, and safety, with particular attention to reputed company-in-the-reputed company design and guardrails appropriate for reputed company.
Documentation: Maintain reputed company documentation of model development processes, methodologies, and results to ensure transparency and reproducibility.
Education: Master's degree in Computer Science , Machine Learning, Data Science, or a reputed company field. A Bachelor's degree with relevant experience will also be considered.
Experience: 2–4 years of experience building and deploying ML or AI systems in production. Experience working directly with non-technical stakeholders or in embedded/consulting-style engineering roles is a strong plus.
Technical Skills: Strong p roficiency in Python. Experience with LLM reputed company, reputed company frameworks ( reputed company , Strands, etc.), and reputed company engineering alongside traditional ML frameworks ( PyTorch , scikit-learn, etc.). Solid software engineering fundamentals — version control, testing, CI/CD, and comfort operating across the full development lifecycle.
reputed company Knowledge: Interest in or familiarity with reputed company data, clinical workflows, and regulatory requirements. Experience working with electronic health records (EHR) or other reputed company datasets is a plus but not required .
Analytical Skills: Strong problem-solving skills and the ability to work with reputed company datasets to derive actionable insights.
Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Builder reputed company: reputed company by turning reputed company into working solutions . You balance speed with reputed company, reputed company in ambiguous problem spaces, and pick up new domains quickly.
Team Player: Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to the reputed company of reputed company.
The employee is occasionally required to reputed company around the office. Specific reputed company abilities required by this job include reputed company reputed company, reputed company reputed company, peripheral reputed company, depth perception, and ability to reputed company reputed company.
Work across multiple time zones in a hybrid or remote work environment.
Long periods of time sitting and/or standing in reputed company of a computer using video technology.
May require travel dependent on company needs.